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AI Portfolio Acceleration for Local Government

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AI Portfolio Acceleration for Local Government

4-5

The Challenge Facing Councils

6-7

Our Opportunity

8-9

Our Commitment

10-13

Our Structured 12 Week Co-Creation Approach

14-15

Why this Works for Local Government 16-19

Why Version 1

Introduction

Most councils we speak to are not short of AI ideas. They have lists of them.

What they lack is a clear, honest answer to a harder question: which of these ideas is actually worth pursuing, in what order, and how do we build the business case to back them?

That is where most AI programmes stall. Not for lack of ambition, but because moving from a list of possibilities to a portfolio of investable priorities takes structured work that most councils do not have dedicated capacity to do.

This document sets out how Version 1 helps councils do exactly that through a practical, 12-week co-creation programme that replaces uncertainty with evidence, and replaces long idea lists with a clear, sequenced plan.

The Challenge Facing Councils

Across local government, AI idea pipelines are growing. Service teams see opportunity in automating administrative tasks, improving case triage, enhancing citizen self-service, supporting frontline decision-making, and extracting insight from unstructured data.

The result, in many councils, is a long backlog of use case ideas, captured in workshops, innovation programmes, and digital strategies — with no agreed method for moving them forward.

Three structural challenges consistently emerge:

01

02

TOO MANY IDEAS, TOO LITTLE CLARITY

Use cases are often described in ten words or fewer. That’s enough to signal a problem — not enough to understand:

Feasibility

Data readiness

Complexity

True business value

Organisational readiness

UNCLEAR PRIORITISATION

Which ideas: Are genuinely AI? Are better suited to automation or process redesign?

Already overlap with in-flight programmes?

Have stakeholder backing and data available?

Will deliver the greatest impact relative to effort?

Without structured assessment, prioritisation becomes subjective and politically influenced.

DELIVERY BOTTLENECKS

Even when strong ideas exist:

Business cases are underdeveloped

Governance questions are unresolved

Technical dependencies are unclear

Frontline buy-in is inconsistent

As a result, many AI initiatives stall at the idea stage — or pilots fail to convert into production.

The Opportunity

Local councils can use AI to narrow budget gaps and raise citizen outcomes by shifting work from labour intensive “handle every contact” models to prevent, predict, and automate at scale, especially in highvolume, rules based, and text heavy processes.

Evidence from council deployments shows measurable impact in four places:

01

Contact centre “AI front doors” that deflect routine enquiries and reduce waiting times (for example, 56% deflection and halved waiting times in one UK council deployment)

02

Frontline productivity tools that reduce documentation time in adult social care (50–60% average reduction reported in a pilot)

03

Planning and housing workflows where AI collapses information gathering from hours to seconds

04

Predictive prevention that targets support earlier (for example, a council’s homelessness risk alerts associated with materially better outcomes and a quantified cost benefit estimate in internal analysis

AI helps bridge budget gaps by converting scarce staff capacity into higher value work: automation reduces unit costs (and backlogs) in repetitive tasks (letters, form processing, triage, call wrap), while conversational AI deflects routine demand to 24/7 selfservice without removing human channels. Predictive analytics improves demand management by spotting risk earlier (e.g., likely homelessness, missed payments, deterioration of assets), enabling targeted, lower cost interventions before crises become expensive statutory duties. Revenue protection and fraud reduction can be strengthened by risk scoring and anomaly detection that prioritise investigative effort, provided false positives are measured and human review gates remain in place.

_ deflection and halved waiting times in one UK council deployment 50-60% _ average reduction reported in a pilot)

Our Commitment

We help councils invest their effort in exactly the right places.

Not every use case should progress. Not every opportunity is right for AI. Not every AI opportunity is right to build now.

Our role is to create structured clarity — before a single line of code is written.

Our Structured 12-Week

Co-Creation Approach

We deliver a phased AI Portfolio Acceleration engagement designed specifically for councils with large AI idea pipelines. It moves from longlist, to prioritised shortlist, to scoped initiatives, to a production-ready roadmap.

WEEK 1-2: CLARIFY AND CURATE

Kick-Off & Governance Alignment

We align sponsors and stakeholders on:

Objectives and success criteria

Scope boundaries

Governance model

Stakeholder engagement approach

Decision gates

Output: Programme charter and governance model.

Use Case Sifting Workshop

We facilitate structured review of all identified use cases, categorising them as: In Scope

Out of Scope (including in-flight programmes)

Requires Further Investigation

Each decision is documented to prevent duplication and future rework.

Output: Curated longlist and documented exclusion log.

AI Inspiration & Idea Generation (Optional)

If use cases have not yet been identified, we run short AI inspiration sessions to demystify AI, challenge common myths, and help staff recognise practical opportunities in their day-to-day work.

Following this, we deploy a simple AI use-case crowdsourcing tool that allows staff across the organisation to submit ideas in a quick, structured, and accessible way. This rapidly builds a broad pipeline of potential use cases to feed into the sifting and prioritisation process.

Output: Expanded long list of AI opportunities sourced from across the organisation.

WEEK 3–4:

DATA-DRIVEN PRIORITISATION

Structured Crowd-Sourcing (Validation, Not Ideation)

We gather deeper insight from idea owners and frontline staff to:

Validate impact and frequency

Surface operational pain points

Identify engagement signals

Assess perceived feasibility

This is lightweight (typically 5-minute structured input) and designed to maintain momentum.

Value vs Complexity Mapping

We synthesise insights and in dependently assess each use case across:

Value potential

Technical complexity

Data readiness

Integration dependencies

Governance risk

Organisational readiness

Use cases are mapped on a transparent Value vs Complexity matrix.

Output: Revalidated, ranked portfolio with identified synergies and reusable components.

At this stage, some use cases may move directly into existing automation or delivery teams.

WEEK

3–6:

FOCUSED IDEATION

From Ideas to Investable Initiatives

Once a prioritised shortlist is agreed, we move into structured validation. We run cross-functional ideation sessions on the highest-priority use cases.

These sessions:

Explore solution approaches

Identify reusable technical components

Surface constraints and dependencies

Test commercial, operational and technical viability

Outputs per use case:

Concept sketch

Early feasibility signals

Indicative effort estimate

Rough value hypothesis

This ensures only viable candidates progress further.

Executive Alignment (REACH Framework)

AI transformation fails without leadership alignment. We conduct director-level envisioning sessions using our REACH framework:

Readiness

Engagement

Ambition

Capability

Horizon

This ensures:

Strategic alignment

Clear ownership

Realistic expectations

Visible executive sponsorship

Our Structured 12-Week Co-Creation Approach

WEEK 6-11:

TWO DELIVERY TRACKS

Depending on complexity, use cases progress through one of two structured routes:

Track A: Co-Creation Discovery (Complex AI)

For higher-complexity use cases involving:

Human judgement

Bespoke design

Complex integration

We run structured Discovery sprints to:

Deeply understand the business challenge

Define KPIs and measurable success criteria

Map user journeys

Assess data and integration readiness

Develop high-level solution architecture

Produce a paper business case

Output: Comprehensive Discovery Report

+ Proof of Concept brief. Only validated, investable use cases proceed.

Track B: Hyper-Automation Sessions (Quick Wins)

For lower-complexity automation opportunities, we run hands-on half-day sessions that:

Design the workflow

Build and test a working prototype

Demonstrate tangible value immediately

Output: Live working prototype + scale/ refine/pivot recommendation.

This generates visible early success stories and builds organisational confidence.

WEEK 12: PRODUCTION READINESS & LONG-TERM IMPACT

Portfolio Report & Production Roadmap

At the end of the 12-week programme, we consolidate all findings into a structured AI Portfolio Report.

This includes:

Validated business cases

ROI summaries

Production-readiness assessment

Governance recommendations

Sequenced delivery roadmap

Scale / refine / defer decisions for every assessed use case

This provides councils with:

Clear investment decisions

Executive-level clarity

Risk-managed production plan

Delivery sequencing aligned to capacity

Defined ownership and accountability

AI Delivery Capability Uplift

Alongside prioritisation, Version 1 can provide dedicated AI delivery capacity to implement the selected use cases.

We form hybrid squads that combine your service and digital experts with our AI architects, engineers and data specialists. This ensures solutions are grounded in operational reality while accelerating delivery.

Our approach is collaborative by design — pairing your teams with our AI experts so knowledge is transferred throughout. As we deliver tangible outcomes, we also upskill your staff in AI best practice, governance and solution design.

The result: measurable impact today, and stronger in-house AI capability for tomorrow to reduce dependency on external consultancy.

Why this Works for Local Government

Our approach is designed around the realities of councils:

Limited delivery capacity

Cross-directorate complexity

Governance scrutiny

Data quality variability

Political sensitivity

Change resistance

We mitigate common risks by:

Introducing formal stage gates

Requiring business case validation before build

Addressing data and governance early

Demonstrating quick wins

Actively managing stakeholder engagement

Identifying reusable foundations to avoid fragmentation

The Outcome for Your Council

Why Version 1

Starting the Conversation

Many councils we speak to are in the same position: a long list of AI ideas and genuine uncertainty about where to begin.

We would welcome an exploratory conversation to review your current AI pipeline, assess your maturity and readiness, and identify where structured acceleration would create the greatest impact.

This is not about generating more ideas. It is about turning the right ideas into measurable outcomes that deliver the cashable savings your council needs.

To book a discovery call, please get in touch with Gregory.Alexander@ version1.com or complete the Talk to Us form.

About Version 1

ISG has recognised Version 1 as a global leader in AI strategy, consulting, development and deployment for two consecutive years — based on independent auditing of our methodology and outcomes, including the fact that 62% of our AI PoCs progress to production (double the industry average).

We are also among a small number of organisations certified to ISO 42001 (AI Management System standard), reinforcing our commitment to Responsible AI, governance and transparency.

Version 1 is a trusted AI and automation delivery partner across local

of our AI PoCs progress to production

government, including Lincolnshire County Council, delivering end-toend AI transformation from discovery through to measurable production impact.

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